Evidence map›Paper›PMID 39033303›Full record

ArticleJournal of translational medicine2024

Computing cell state discriminates the aberrant hematopoiesis and activated microenvironment in Myelodysplastic syndrome (MDS) through a single cell genomic study.

Xinyu Guo, Wenyan Jin, Yuchen Wen, Zhiqin Wang, Xiaotong Ren, Zhaoyun Liu, Rong Fu, Zhigang Cai, Lijuan Li

Abstract read
In one paragraph

Article in Journal of translational medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Xinyu Guo *Department of Hematology, Tianjin Medical University Tianjin General Hospital, Tianjin, China.
Wenyan Jin *National Key Laboratory of Experimental Hematology, Tianjin, China.
Yuchen WenDepartment of Hematology, Tianjin Medical University Tianjin General Hospital, Tianjin, China.
Zhiqin WangNational Key Laboratory of Experimental Hematology, Tianjin, China.
Xiaotong RenDepartment of Hematology, Tianjin Medical University Tianjin General Hospital, Tianjin, China.
Zhaoyun LiuThe Province and Ministry Co-Sponsored Collaborative Innovation Center for Medical Epigenetics, Department of Pharmacology, School of Basic Medical Science, Tianjin Medical University, Tianjin, China.
Rong FuDepartment of Hematology, Tianjin Medical University Tianjin General Hospital, Tianjin, China.
Zhigang CaiDepartment of Hematology, Tianjin Medical University Tianjin General Hospital, Tianjin, China. us36zcai@tmu.edu.cn.ORCID 0009-0003-2416-9951
Lijuan LiDepartment of Hematology, Tianjin Medical University Tianjin General Hospital, Tianjin, China. lli@tmu.edu.cn.

Funding

National Science Foundation of China No. 82371789Tianjin Medical Key Discipline Construction Project TJYXZDXK-028ATianjin Medical University Talent Program No.82170173
6 · The paper itself

Abstract

backgroundMyelodysplastic syndrome (MDS) is a complicated hematopoietic malignancy characterized by bone marrow (BM) dysplasia with symptoms like anemia, neutropenia, or thrombocytopenia. MDS exhibits considerable heterogeneity in prognosis, with approximately 30% of patients progressing to acute myeloid leukemia (AML). Single cell RNA-sequencing (scRNA-seq) is a new and powerful technique to profile disease landscapes. However, the current available scRNA-seq datasets for MDS are only focused on CD34

methodsFive MDS patients and four healthy donors were enrolled in the study. Unsorted cells from BM aspiration were collected for scRNA-seq analysis to profile overall alteration in hematopoiesis.

resultsStandard scRNA-seq analysis of unsorted BM cells successfully profiles deficient hematopoiesis in all five MDS patients, with three classified as high-risk and two as low-risk. While no significant increase in mutation burden was observed, high-risk MDS patients exhibited T-cell activation and abnormal myelogenesis at the stages between hematopoietic stem and progenitor cells (HSPC) and granulocyte-macrophage progenitors (GMP). Transcriptional factor analysis on the aberrant myelogenesis suggests that the epigenetic regulator chromatin structural protein-encoding gene HMGA1 is highly activated in the high-risk MDS group and moderately activated in the low-risk MDS group. Perturbation of HMGA1 by CellOracle simulated deficient hematopoiesis in mouse Lineage-negative (Lin

conclusionThrough scRNA-seq analysis on unsorted cells from BM aspiration samples of MDS patients, this study systematically profiled the development abnormalities in hematopoiesis, heterogeneity of risk, and T-cell microenvironment at the single cell level.

Indexed as

GenomicsHematopoiesisMyelodysplastic SyndromesSingle-Cell AnalysisAgedCellular MicroenvironmentFemaleHematopoietic Stem CellsHumansMaleMiddle AgedMutationBone marrow cell referenceComputational hematopoiesisHMGA1Myelodysplastic syndromeSingle cell omics

Identifiers

PMID39033303
PMCPMC11265062

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.